Literature DB >> 34082196

Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action.

Josep Perelló1, Anna Cigarini2, Julián Vicens3, Isabelle Bonhoure3, David Rojas-Rueda4, Mark J Nieuwenhuijsen5, Marta Cirach5, Carolyn Daher5, Jaume Targa6, Anna Ripoll6.   

Abstract

We present outcomes from a large-scale air quality citizen science campaign (xAire, 725 measurements) to demonstrate its positive contribution in the interplay between advances in exposure assessment and developments in policy or collective action. A broad partnership with 1,650 people from communities around 18 primary schools across Barcelona provided the capacity to obtain unprecedented high-resolution NO2 levels and an updated asthma Health Impact Assessment. It is shown that NO2 levels vary considerably with at some cases very high levels. More than a 1,000 new cases of childhood asthma could be prevented each year by lowering NO2 levels. Representativity of site selection and the minimal number of samplers for land use regression modelling are considered. Enhancement of community knowledge and attitudes towards collective response were observed and identified as key drivers for successful large-scale monitoring campaigns. The results encourage strengthening collaboration with local communities when exploring environmental health issues.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air quality; Asthma; Citizen science; City; Health impact assessment; Schools

Year:  2021        PMID: 34082196     DOI: 10.1016/j.scitotenv.2021.147750

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

Review 1.  Empowering local communities using artificial intelligence.

Authors:  Yen-Chia Hsu; Ting-Hao 'Kenneth' Huang; Himanshu Verma; Andrea Mauri; Illah Nourbakhsh; Alessandro Bozzon
Journal:  Patterns (N Y)       Date:  2022-03-11

2.  Leveraging Citizen Science and Low-Cost Sensors to Characterize Air Pollution Exposure of Disadvantaged Communities in Southern California.

Authors:  Tianjun Lu; Yisi Liu; Armando Garcia; Meng Wang; Yang Li; German Bravo-Villasenor; Kimberly Campos; Jia Xu; Bin Han
Journal:  Int J Environ Res Public Health       Date:  2022-07-19       Impact factor: 4.614

3.  Toward Systems Models for Obesity Prevention: A Big Role for Big Data.

Authors:  Adele R Tufford; Christos Diou; Desiree A Lucassen; Ioannis Ioakimidis; Grace O'Malley; Leonidas Alagialoglou; Evangelia Charmandari; Gerardine Doyle; Konstantinos Filis; Penio Kassari; Tahar Kechadi; Vassilis Kilintzis; Esther Kok; Irini Lekka; Nicos Maglaveras; Ioannis Pagkalos; Vasileios Papapanagiotou; Ioannis Sarafis; Arsalan Shahid; Pieter van 't Veer; Anastasios Delopoulos; Monica Mars
Journal:  Curr Dev Nutr       Date:  2022-07-30

4.  Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA.

Authors:  Shahir Masri; Kathryn Cox; Leonel Flores; Jose Rea; Jun Wu
Journal:  Atmosphere (Basel)       Date:  2022-02-11       Impact factor: 3.110

Review 5.  Digital Healthcare for Airway Diseases from Personal Environmental Exposure.

Authors:  Youngmok Park; Chanho Lee; Ji Ye Jung
Journal:  Yonsei Med J       Date:  2022-01       Impact factor: 2.759

  5 in total

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